West Africa Center of Excellence for Data Science Research Education

西非数据科学研究教育卓越中心

• 批准号: 10713853
• 负责人: SEYDOU DOUMBIA
• 金额: $ 20万
• 依托单位: UNIV OF SCIENCES, TECH & TECH OF BAMAKO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10713853
• 关键词: Address; Affect; Africa; Africa South of the Sahara; African; Area; Big Data; Bioinformatics; Biomedical Research; Cardiovascular Diseases; Clinical; Clinical Research; Collaborations; Communicable Diseases; Complex; Country; Data; Data Analyses; Data Engineering; Data Science; Data Set; Data Sources; Development; Diabetes Mellitus; Diagnosis; Disease; Disease Outcome; Doctor of Philosophy; Educational Curriculum; Emerging Communicable Diseases; Faculty; Fogarty International Center; Goals; Guinea; HIV/AIDS; HIV/TB; Health Professional; Human Resources; Infrastructure; Institution; Interdisciplinary Study; Intervention; Knowledge; Life; Machine Learning; Malaria; Mali; Malignant Neoplasms; Master of Science; Medical; National Institute of Allergy and Infectious Disease; Parasitic Diseases; Participant; Positioning Attribute; Public Health; Public Health Education; Research; Research Ethics; Research Personnel; Research Project Grants; Research Training; Resources; Science; Scientist; Sickle Cell Anemia; Training; Training Programs; Tuberculosis; United States National Institutes of Health; Universities; Work; complex data; course sequence; disorder control; education research; experience; faculty research; future implementation; hackathon; infectious disease model; innovation; interest; international center; international partnership; learning materials; neglected tropical diseases; neurogenetics; next generation; programs; public health research; rapid growth; response; skills; spatial epidemiology; technology/technique

Project Summary/Abstract Sub-Saharan African countries are severely affected by the world’s most devastating infectious diseases, including malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and is experiencing an unprecedented increase in noncommunicable diseases, including cancer, cardiovascular diseases, and diabetes. In the past decades, public health, biomedical and clinical research have also increase significantly with support from the National Institutes of Health (NIH) and other partnership. This partnership has contributed a breadth of diverse, large, and complex clinical and biomedical data sets, providing unique opportunities for applying data sciences for discoveries that may catalyze innovation in diagnosis, and therapy of diseases of public health interest in the region. However, a critical gap is that these data remain under-exploited due to limited human resources with skills and expertise in data sciences to harness the value of these data to have a meaningful public health impact. The overall objective of this UE5 Research Education Program involving the University of Sciences, Techniques and Technology of Bamako (USTTB) and Gamal Abdel Nasser University of Conakry, Guinea (UGANC) with support from Tulane University is to build interdisciplinary teams across multiple African institutions capable of using innovative quantitative and analytical approaches to generate and apply new knowledge from large or complex sets of data in the subregion through the following specific aims: 1) Strengthen existing institutional research training programs to address the needs for optimal use and processing of large and complex data sets using advanced data science approaches. We will provide faculty enhancement training and develop advanced data sciences courses for enriching curricula of existing Masters and PhD programs and professional development short-term training (medical residents, public health, clinicians and junior researchers); 2) Develop and deliver datathon (i.e., data analysis hackathon) training that involves multidisciplinary collaboration among researchers, data engineers, machine-learning experts, statisticians, and other information scientists. Datathon participants will perform team-oriented approaches in response to research questions of interest in the area of infectious disease outcomes (e.g., malaria, NTDs, TB/HIV, or emerging infectious diseases) and develop solutions in group settings; and 3) Produce a critical mass of trained public health professionals, disease control managers, and researchers capable of working closely together to use data sciences to refine and guide control interventions most effectively through short courses sequence focused on hands-on advanced data science. Developped short-term training sessions and modules through a multifaceted approach to facilitate partnership among researchers and local faculty and stakeholders for future implementation of data sciences research.

项目概要/摘要 撒哈拉以南非洲国家受到世界上最具破坏性的传染病的严重影响， 包括疟疾、艾滋病毒/艾滋病、结核病、被忽视的热带疾病，并且正在经历前所未有的 非传染性疾病的增加，包括癌症、心血管疾病和糖尿病。在过去 几十年来，公共卫生、生物医学和临床研究在政府的支持下也显着增加 美国国立卫生研究院 (NIH) 和其他合作伙伴。这种伙伴关系贡献了广泛的、 庞大而复杂的临床和生物医学数据集，为应用数据科学提供了独特的机会 可能促进公共卫生领域疾病诊断和治疗创新的发现 地区。然而，一个关键的差距是，由于人力资源有限，这些数据仍未得到充分利用。 数据科学方面的技能和专业知识，以利用这些数据的价值对公共卫生产生有意义的影响。 科学大学参与的 UE5 研究教育计划的总体目标， 巴马科技术与科技 (USTTB) 和几内亚科纳克里 Gamal Abdel Nasser 大学 （UGANC）在杜兰大学的支持下，将在多个非洲国家建立跨学科团队 能够使用创新的定量和分析方法来生成和应用新方法的机构 通过以下具体目标从该次区域的大量或复杂数据中获取知识：1) 加强现有机构研究培训计划，以满足最佳利用和 使用先进的数据科学方法处理大型复杂的数据集。我们将提供师资 加强培训并开发高级数据科学课程，以丰富现有硕士课程 博士课程和专业发展短期培训（住院医师、公共卫生、临床医生 和初级研究人员）； 2) 开发并提供数据马拉松（即数据分析黑客马拉松）培训 涉及研究人员、数据工程师、机器学习专家之间的多学科合作， 统计学家和其他信息科学家。数据马拉松参与者将执行以团队为导向的方法 对传染病结果领域感兴趣的研究问题的回应（例如疟疾、被忽视的热带疾病、 结核病/艾滋病毒或新出现的传染病）并在团体环境中制定解决方案； 3）产生一个关键的 大量训练有素的公共卫生专业人员、疾病控制管理者和研究人员能够 密切合作，利用数据科学最有效地完善和指导控制干预措施 通过一系列短期课程，重点关注先进数据科学的实践。开展短期培训 通过多方面的方法举办会议和模块，以促进研究人员和地方之间的伙伴关系 教师和利益相关者未来实施数据科学研究。